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The Costs of Poor Data Quality in Industry

The Costs of Poor Data Quality in Industry 1700 944 APERIO

Widespread adoption of IIoT continues to growing rapidly. A 2020 study by Jupiter Research predicts that the number of IIoT connections will more than double from 17.7 billion in 2020 to 36.8 billion in 2025.

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How my human condition became very real when I discovered APERIO

How my human condition became very real when I discovered APERIO 1800 1000 APERIO

My name is Livia Wiley and I’m the Vice President of Marketing at APERIO. As a marketer, I am challenged with taking technically challenging details and crafting a story that appeals to the buyer persona we seek. Sometimes this can be difficult; while other times, it’s quite obvious. This blog is about the latter.

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APERIO eBook

APERIO eBook 1000 632 APERIO

The future of your industrial data value chain is at your fingertips.

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Product Brochure

Product Brochure 1700 953 APERIO

Superior data integrity at scale.

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Infographic

Infographic 743 600 APERIO

How rigorous data integrity software can improve uptime, performance, and operator confidence.

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European Utilities Company

European Utilities Company 500 749 APERIO

A European utilities company uses APERIO DataWise to successfully identify data threats on critical infrastructure.

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Global TSO Company

Global TSO Company 500 749 APERIO

Global TSO company uses APERIO DataWise to eliminate 90% of unnecessary, intrusive maintenance inspections.

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European TSO Company

European TSO Company 430 644 APERIO

A European TSO company uses APERIO DataWise to minimize time spend and uncertainty in operational network control room decisions.

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Global Power Generation Company

Global Power Generation Company 500 749 APERIO

A global power generation company uses APERIO DataWise to estimate savings of more than €0.5M in related sustainability issues costs within the first 12 months of deployment.

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APAC Power Generation Company

APAC Power Generation Company 500 749 APERIO

A APAC power generation company uses APERIO DataWise to eliminate 50% of asset modeling data runs that were bad; and the need for time-consuming data troubleshooting.

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